Overview

Dataset statistics

Number of variables15
Number of observations76014
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.5 MiB
Average record size in memory503.7 B

Variable types

NUM9
CAT6

Reproduction

Analysis started2020-07-07 16:33:07.675719
Analysis finished2020-07-07 16:33:32.502561
Duration24.83 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

date has a high cardinality: 442 distinct values High cardinality
batsman has a high cardinality: 411 distinct values High cardinality
bowler has a high cardinality: 329 distinct values High cardinality
overs is highly correlated with runsHigh correlation
runs is highly correlated with oversHigh correlation
runs has 808 (1.1%) zeros Zeros
wickets has 14840 (19.5%) zeros Zeros
runs_last_5 has 808 (1.1%) zeros Zeros
wickets_last_5 has 24918 (32.8%) zeros Zeros
striker has 1437 (1.9%) zeros Zeros
non-striker has 12246 (16.1%) zeros Zeros

Variables

mid
Real number (ℝ≥0)

Distinct count617
Unique (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean308.62773962691085
Minimum1
Maximum617
Zeros0
Zeros (%)0.0%
Memory size594.0 KiB

Quantile statistics

Minimum1
5-th percentile32
Q1154
median308
Q3463
95-th percentile586
Maximum617
Range616
Interquartile range (IQR)309

Descriptive statistics

Standard deviation178.1568778
Coefficient of variation (CV)0.5772549092
Kurtosis-1.202321237
Mean308.6277396
Median Absolute Deviation (MAD)155
Skewness0.004636232404
Sum23460029
Variance31739.87312
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3091320.2%
 
4201310.2%
 
321310.2%
 
2991310.2%
 
1061310.2%
 
1151310.2%
 
861300.2%
 
2521300.2%
 
1501300.2%
 
1301300.2%
 
1171300.2%
 
931300.2%
 
5701300.2%
 
2671300.2%
 
1321300.2%
 
5931290.2%
 
2171290.2%
 
3951290.2%
 
3481290.2%
 
4711290.2%
 
2851290.2%
 
2241290.2%
 
5001290.2%
 
6091290.2%
 
1021290.2%
 
Other values (592)7276795.7%
 
ValueCountFrequency (%) 
11240.2%
 
21240.2%
 
31220.2%
 
41230.2%
 
51180.2%
 
61220.2%
 
71220.2%
 
81270.2%
 
91260.2%
 
101240.2%
 
ValueCountFrequency (%) 
6171250.2%
 
6161160.2%
 
6151250.2%
 
6141270.2%
 
613980.1%
 
6121250.2%
 
6111180.2%
 
6101240.2%
 
6091290.2%
 
6081240.2%
 

date
Categorical

HIGH CARDINALITY

Distinct count442
Unique (%)0.6%
Missing0
Missing (%)0.0%
Memory size594.0 KiB
2011-04-22
 
257
2010-03-25
 
257
2012-05-20
 
256
2015-04-25
 
255
2010-03-13
 
254
Other values (437)
74735
ValueCountFrequency (%) 
2011-04-222570.3%
 
2010-03-252570.3%
 
2012-05-202560.3%
 
2015-04-252550.3%
 
2010-03-132540.3%
 
2009-05-122540.3%
 
2011-04-152540.3%
 
2009-04-262540.3%
 
2010-04-112540.3%
 
2014-05-142540.3%
 
2014-04-182530.3%
 
2009-05-102530.3%
 
2012-05-052530.3%
 
2017-04-152530.3%
 
2014-04-192530.3%
 
2010-03-142530.3%
 
2013-04-172530.3%
 
2012-04-212530.3%
 
2013-04-272520.3%
 
2017-04-292520.3%
 
2017-05-062520.3%
 
2016-04-162520.3%
 
2016-04-232520.3%
 
2017-04-162520.3%
 
2010-04-072520.3%
 
Other values (417)6967791.7%
 

Length

Max length10
Median length10
Mean length10
Min length10

Overview of Unicode Properties

Unique unicode characters11
Unique unicode categories (?)2
Unique unicode scripts (?)1
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
020099126.4%
 
-15202820.0%
 
211720515.4%
 
110815114.2%
 
4509056.7%
 
5502086.6%
 
3225603.0%
 
7150662.0%
 
9147471.9%
 
8143251.9%
 
6139541.8%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number60811280.0%
 
Dash Punctuation15202820.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
020099133.1%
 
211720519.3%
 
110815117.8%
 
4509058.4%
 
5502088.3%
 
3225603.7%
 
7150662.5%
 
9147472.4%
 
8143252.4%
 
6139542.3%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-152028100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common760140100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
020099126.4%
 
-15202820.0%
 
211720515.4%
 
110815114.2%
 
4509056.7%
 
5502086.6%
 
3225603.0%
 
7150662.0%
 
9147471.9%
 
8143251.9%
 
6139541.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII760140100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
020099126.4%
 
-15202820.0%
 
211720515.4%
 
110815114.2%
 
4509056.7%
 
5502086.6%
 
3225603.0%
 
7150662.0%
 
9147471.9%
 
8143251.9%
 
6139541.8%
 

venue
Categorical

Distinct count35
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size594.0 KiB
M Chinnaswamy Stadium
 
7443
Feroz Shah Kotla
 
7068
Eden Gardens
 
7049
Wankhede Stadium
 
7048
MA Chidambaram Stadium, Chepauk
 
5972
Other values (30)
41434
ValueCountFrequency (%) 
M Chinnaswamy Stadium74439.8%
 
Feroz Shah Kotla70689.3%
 
Eden Gardens70499.3%
 
Wankhede Stadium70489.3%
 
MA Chidambaram Stadium, Chepauk59727.9%
 
Rajiv Gandhi International Stadium, Uppal58277.7%
 
Punjab Cricket Association Stadium, Mohali42475.6%
 
Sawai Mansingh Stadium41105.4%
 
Dr DY Patil Sports Academy20882.7%
 
Subrata Roy Sahara Stadium20862.7%
 
Maharashtra Cricket Association Stadium18432.4%
 
Kingsmead17312.3%
 
Sardar Patel Stadium, Motera14842.0%
 
Brabourne Stadium13801.8%
 
SuperSport Park13771.8%
 
Punjab Cricket Association IS Bindra Stadium, Mohali13421.8%
 
Saurashtra Cricket Association Stadium12291.6%
 
Himachal Pradesh Cricket Association Stadium11151.5%
 
Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket Stadium11131.5%
 
New Wanderers Stadium9951.3%
 
St George's Park8701.1%
 
Dubai International Cricket Stadium8681.1%
 
Barabati Stadium8561.1%
 
JSCA International Stadium Complex8371.1%
 
Sheikh Zayed Stadium8361.1%
 
Other values (10)52006.8%
 

Length

Max length52
Median length21
Mean length25.04200542
Min length8

Overview of Unicode Properties

Unique unicode characters53
Unique unicode categories (?)5
Unique unicode scripts (?)2
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
a24943813.1%
 
1817879.5%
 
i1448517.6%
 
t1166286.1%
 
d1005825.3%
 
n994165.2%
 
e896584.7%
 
S837344.4%
 
r826524.3%
 
m794994.2%
 
u732343.8%
 
h730663.8%
 
o597783.1%
 
s512342.7%
 
C367751.9%
 
l346351.8%
 
k321931.7%
 
c270881.4%
 
M264411.4%
 
p233051.2%
 
A223821.2%
 
,192421.0%
 
b171210.9%
 
y143080.8%
 
G142380.7%
 
Other values (28)1502587.9%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter141780874.5%
 
Uppercase Letter27938414.7%
 
Space Separator1817879.5%
 
Other Punctuation234511.2%
 
Dash Punctuation11130.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S8373430.0%
 
C3677513.2%
 
M264419.5%
 
A223828.0%
 
G142385.1%
 
P133954.8%
 
R101393.6%
 
I96163.4%
 
K87993.1%
 
W80432.9%
 
D80062.9%
 
F70682.5%
 
E70492.5%
 
U60782.2%
 
B43261.5%
 
Y32011.1%
 
N29731.1%
 
V22250.8%
 
H17320.6%
 
J12070.4%
 
O8700.3%
 
Z8360.3%
 
T2510.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
181787100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
a24943817.6%
 
i14485110.2%
 
t1166288.2%
 
d1005827.1%
 
n994167.0%
 
e896586.3%
 
r826525.8%
 
m794995.6%
 
u732345.2%
 
h730665.2%
 
o597784.2%
 
s512343.6%
 
l346352.4%
 
k321932.3%
 
c270881.9%
 
p233051.6%
 
b171211.2%
 
y143081.0%
 
w132850.9%
 
j132730.9%
 
g74530.5%
 
z70680.5%
 
v64460.5%
 
x8370.1%
 
f7600.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
,1924282.1%
 
.333914.2%
 
'8703.7%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-1113100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin169719289.2%
 
Common20635110.8%
 

Most frequent Latin characters

ValueCountFrequency (%) 
a24943814.7%
 
i1448518.5%
 
t1166286.9%
 
d1005825.9%
 
n994165.9%
 
e896585.3%
 
S837344.9%
 
r826524.9%
 
m794994.7%
 
u732344.3%
 
h730664.3%
 
o597783.5%
 
s512343.0%
 
C367752.2%
 
l346352.0%
 
k321931.9%
 
c270881.6%
 
M264411.6%
 
p233051.4%
 
A223821.3%
 
b171211.0%
 
y143080.8%
 
G142380.8%
 
P133950.8%
 
w132850.8%
 
Other values (23)1182567.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
18178788.1%
 
,192429.3%
 
.33391.6%
 
-11130.5%
 
'8700.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII1903543100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
a24943813.1%
 
1817879.5%
 
i1448517.6%
 
t1166286.1%
 
d1005825.3%
 
n994165.2%
 
e896584.7%
 
S837344.4%
 
r826524.3%
 
m794994.2%
 
u732343.8%
 
h730663.8%
 
o597783.1%
 
s512342.7%
 
C367751.9%
 
l346351.8%
 
k321931.7%
 
c270881.4%
 
M264411.4%
 
p233051.2%
 
A223821.2%
 
,192421.0%
 
b171210.9%
 
y143080.8%
 
G142380.7%
 
Other values (28)1502587.9%
 

bat_team
Categorical

Distinct count14
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size594.0 KiB
Mumbai Indians
10213
Kings XI Punjab
9219
Chennai Super Kings
9142
Royal Challengers Bangalore
8331
Kolkata Knight Riders
8033
Other values (9)
31076
ValueCountFrequency (%) 
Mumbai Indians1021313.4%
 
Kings XI Punjab921912.1%
 
Chennai Super Kings914212.0%
 
Royal Challengers Bangalore833111.0%
 
Kolkata Knight Riders803310.6%
 
Delhi Daredevils71529.4%
 
Rajasthan Royals66438.7%
 
Deccan Chargers52806.9%
 
Sunrisers Hyderabad52166.9%
 
Pune Warriors24483.2%
 
Gujarat Lions17262.3%
 
Rising Pune Supergiant9941.3%
 
Kochi Tuskers Kerala8761.2%
 
Rising Pune Supergiants7411.0%
 

Length

Max length27
Median length16
Mean length17.86923461
Min length13

Overview of Unicode Properties

Unique unicode characters37
Unique unicode categories (?)3
Unique unicode scripts (?)2
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
a15228011.2%
 
n1175038.7%
 
1133508.3%
 
e1014287.5%
 
i937706.9%
 
s894906.6%
 
r797545.9%
 
l631804.7%
 
g518063.8%
 
h454573.3%
 
u423103.1%
 
o363882.7%
 
K361792.7%
 
d358302.6%
 
R313852.3%
 
t261701.9%
 
b246481.8%
 
C227531.7%
 
y201901.5%
 
D195841.4%
 
I194321.4%
 
j175881.3%
 
S160931.2%
 
P134021.0%
 
c114360.8%
 
Other values (12)769065.7%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter104637977.0%
 
Uppercase Letter19858314.6%
 
Space Separator1133508.3%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
K3617918.2%
 
R3138515.8%
 
C2275311.5%
 
D195849.9%
 
I194329.8%
 
S160938.1%
 
P134026.7%
 
M102135.1%
 
X92194.6%
 
B83314.2%
 
H52162.6%
 
W24481.2%
 
G17260.9%
 
L17260.9%
 
T8760.4%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
a15228014.6%
 
n11750311.2%
 
e1014289.7%
 
i937709.0%
 
s894908.6%
 
r797547.6%
 
l631806.0%
 
g518065.0%
 
h454574.3%
 
u423104.0%
 
o363883.5%
 
d358303.4%
 
t261702.5%
 
b246482.4%
 
y201901.9%
 
j175881.7%
 
c114361.1%
 
p108771.0%
 
m102131.0%
 
k89090.9%
 
v71520.7%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
113350100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin124496291.7%
 
Common1133508.3%
 

Most frequent Latin characters

ValueCountFrequency (%) 
a15228012.2%
 
n1175039.4%
 
e1014288.1%
 
i937707.5%
 
s894907.2%
 
r797546.4%
 
l631805.1%
 
g518064.2%
 
h454573.7%
 
u423103.4%
 
o363882.9%
 
K361792.9%
 
d358302.9%
 
R313852.5%
 
t261702.1%
 
b246482.0%
 
C227531.8%
 
y201901.6%
 
D195841.6%
 
I194321.6%
 
j175881.4%
 
S160931.3%
 
P134021.1%
 
c114360.9%
 
p108770.9%
 
Other values (11)660295.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
113350100.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII1358312100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
a15228011.2%
 
n1175038.7%
 
1133508.3%
 
e1014287.5%
 
i937706.9%
 
s894906.6%
 
r797545.9%
 
l631804.7%
 
g518063.8%
 
h454573.3%
 
u423103.1%
 
o363882.7%
 
K361792.7%
 
d358302.6%
 
R313852.3%
 
t261701.9%
 
b246481.8%
 
C227531.7%
 
y201901.5%
 
D195841.4%
 
I194321.4%
 
j175881.3%
 
S160931.2%
 
P134021.0%
 
c114360.8%
 
Other values (12)769065.7%
 

bowl_team
Categorical

Distinct count14
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size594.0 KiB
Delhi Daredevils
10245
Royal Challengers Bangalore
9661
Mumbai Indians
9271
Kolkata Knight Riders
9211
Kings XI Punjab
8405
Other values (9)
29221
ValueCountFrequency (%) 
Delhi Daredevils1024513.5%
 
Royal Challengers Bangalore966112.7%
 
Mumbai Indians927112.2%
 
Kolkata Knight Riders921112.1%
 
Kings XI Punjab840511.1%
 
Rajasthan Royals777310.2%
 
Chennai Super Kings64978.5%
 
Deccan Chargers39845.2%
 
Sunrisers Hyderabad35894.7%
 
Pune Warriors30834.1%
 
Gujarat Lions19702.6%
 
Rising Pune Supergiant9621.3%
 
Kochi Tuskers Kerala7361.0%
 
Rising Pune Supergiants6270.8%
 

Length

Max length27
Median length16
Mean length17.96804536
Min length13

Overview of Unicode Properties

Unique unicode characters37
Unique unicode categories (?)3
Unique unicode scripts (?)2
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
a15707711.5%
 
1121138.2%
 
n1085427.9%
 
e1048027.7%
 
i929986.8%
 
s887396.5%
 
r782905.7%
 
l768545.6%
 
g505973.7%
 
h481073.5%
 
o420953.1%
 
u367292.7%
 
R360072.6%
 
d359052.6%
 
K347962.5%
 
t297542.2%
 
D244741.8%
 
b212651.6%
 
y210231.5%
 
C201421.5%
 
j181481.3%
 
I176761.3%
 
P130771.0%
 
S116750.9%
 
v102450.8%
 
Other values (12)746935.5%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter105717877.4%
 
Uppercase Letter19653214.4%
 
Space Separator1121138.2%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
R3600718.3%
 
K3479617.7%
 
D2447412.5%
 
C2014210.2%
 
I176769.0%
 
P130776.7%
 
S116755.9%
 
B96614.9%
 
M92714.7%
 
X84054.3%
 
H35891.8%
 
W30831.6%
 
G19701.0%
 
L19701.0%
 
T7360.4%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
a15707714.9%
 
n10854210.3%
 
e1048029.9%
 
i929988.8%
 
s887398.4%
 
r782907.4%
 
l768547.3%
 
g505974.8%
 
h481074.6%
 
o420954.0%
 
u367293.5%
 
d359053.4%
 
t297542.8%
 
b212652.0%
 
y210232.0%
 
j181481.7%
 
v102451.0%
 
k99470.9%
 
m92710.9%
 
c87040.8%
 
p80860.8%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
112113100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin125371091.8%
 
Common1121138.2%
 

Most frequent Latin characters

ValueCountFrequency (%) 
a15707712.5%
 
n1085428.7%
 
e1048028.4%
 
i929987.4%
 
s887397.1%
 
r782906.2%
 
l768546.1%
 
g505974.0%
 
h481073.8%
 
o420953.4%
 
u367292.9%
 
R360072.9%
 
d359052.9%
 
K347962.8%
 
t297542.4%
 
D244742.0%
 
b212651.7%
 
y210231.7%
 
C201421.6%
 
j181481.4%
 
I176761.4%
 
P130771.0%
 
S116750.9%
 
v102450.8%
 
k99470.8%
 
Other values (11)647465.2%
 

Most frequent Common characters

ValueCountFrequency (%) 
112113100.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII1365823100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
a15707711.5%
 
1121138.2%
 
n1085427.9%
 
e1048027.7%
 
i929986.8%
 
s887396.5%
 
r782905.7%
 
l768545.6%
 
g505973.7%
 
h481073.5%
 
o420953.1%
 
u367292.7%
 
R360072.6%
 
d359052.6%
 
K347962.5%
 
t297542.2%
 
D244741.8%
 
b212651.6%
 
y210231.5%
 
C201421.5%
 
j181481.3%
 
I176761.3%
 
P130771.0%
 
S116750.9%
 
v102450.8%
 
Other values (12)746935.5%
 

batsman
Categorical

HIGH CARDINALITY

Distinct count411
Unique (%)0.5%
Missing0
Missing (%)0.0%
Memory size594.0 KiB
SK Raina
 
1921
V Kohli
 
1825
S Dhawan
 
1730
RG Sharma
 
1726
MS Dhoni
 
1584
Other values (406)
67228
ValueCountFrequency (%) 
SK Raina19212.5%
 
V Kohli18252.4%
 
S Dhawan17302.3%
 
RG Sharma17262.3%
 
MS Dhoni15842.1%
 
DA Warner14121.9%
 
AM Rahane13331.8%
 
G Gambhir13151.7%
 
CH Gayle12991.7%
 
AB de Villiers12951.7%
 
RV Uthappa12631.7%
 
BB McCullum12421.6%
 
KD Karthik12421.6%
 
M Vijay11311.5%
 
SE Marsh11201.5%
 
SR Tendulkar10621.4%
 
AT Rayudu10401.4%
 
MEK Hussey10201.3%
 
JP Duminy9891.3%
 
Yuvraj Singh9801.3%
 
SR Watson9601.3%
 
PA Patel9311.2%
 
KA Pollard9191.2%
 
DR Smith9141.2%
 
R Dravid9061.2%
 
Other values (386)4485559.0%
 

Length

Max length20
Median length9
Mean length9.407280238
Min length5

Overview of Unicode Properties

Unique unicode characters54
Unique unicode categories (?)4
Unique unicode scripts (?)2
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
7953211.1%
 
a7901111.0%
 
i355405.0%
 
h332654.7%
 
n325494.6%
 
r311054.3%
 
S290334.1%
 
e283844.0%
 
l260593.6%
 
M201072.8%
 
s190922.7%
 
R175182.4%
 
A173352.4%
 
K166542.3%
 
D159942.2%
 
o158442.2%
 
u158122.2%
 
y146802.1%
 
d145702.0%
 
t144432.0%
 
P139762.0%
 
m128001.8%
 
J110201.5%
 
G101611.4%
 
V100151.4%
 
Other values (29)10058614.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter41655658.3%
 
Uppercase Letter21885530.6%
 
Space Separator7953211.1%
 
Dash Punctuation142< 0.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S2903313.3%
 
M201079.2%
 
R175188.0%
 
A173357.9%
 
K166547.6%
 
D159947.3%
 
P139766.4%
 
J110205.0%
 
G101614.6%
 
V100154.6%
 
B93534.3%
 
C92424.2%
 
H84883.9%
 
T67363.1%
 
W46532.1%
 
L39951.8%
 
Y30931.4%
 
N28481.3%
 
E27031.2%
 
F19690.9%
 
U15170.7%
 
O11030.5%
 
I10520.5%
 
Q1890.1%
 
Z84< 0.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
79532100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
a7901119.0%
 
i355408.5%
 
h332658.0%
 
n325497.8%
 
r311057.5%
 
e283846.8%
 
l260596.3%
 
s190924.6%
 
o158443.8%
 
u158123.8%
 
y146803.5%
 
d145703.5%
 
t144433.5%
 
m128003.1%
 
g79181.9%
 
w68301.6%
 
k67401.6%
 
j45851.1%
 
p45831.1%
 
c37890.9%
 
v36660.9%
 
b32540.8%
 
q5800.1%
 
x5660.1%
 
z5130.1%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-142100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin63541188.9%
 
Common7967411.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
a7901112.4%
 
i355405.6%
 
h332655.2%
 
n325495.1%
 
r311054.9%
 
S290334.6%
 
e283844.5%
 
l260594.1%
 
M201073.2%
 
s190923.0%
 
R175182.8%
 
A173352.7%
 
K166542.6%
 
D159942.5%
 
o158442.5%
 
u158122.5%
 
y146802.3%
 
d145702.3%
 
t144432.3%
 
P139762.2%
 
m128002.0%
 
J110201.7%
 
G101611.6%
 
V100151.6%
 
B93531.5%
 
Other values (27)9109114.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
7953299.8%
 
-1420.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII715085100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
7953211.1%
 
a7901111.0%
 
i355405.0%
 
h332654.7%
 
n325494.6%
 
r311054.3%
 
S290334.1%
 
e283844.0%
 
l260593.6%
 
M201072.8%
 
s190922.7%
 
R175182.4%
 
A173352.4%
 
K166542.3%
 
D159942.2%
 
o158442.2%
 
u158122.2%
 
y146802.1%
 
d145702.0%
 
t144432.0%
 
P139762.0%
 
m128001.8%
 
J110201.5%
 
G101611.4%
 
V100151.4%
 
Other values (29)10058614.1%
 

bowler
Categorical

HIGH CARDINALITY

Distinct count329
Unique (%)0.4%
Missing0
Missing (%)0.0%
Memory size594.0 KiB
Harbhajan Singh
 
1404
PP Chawla
 
1399
P Kumar
 
1386
SL Malinga
 
1333
UT Yadav
 
1304
Other values (324)
69188
ValueCountFrequency (%) 
Harbhajan Singh14041.8%
 
PP Chawla13991.8%
 
P Kumar13861.8%
 
SL Malinga13331.8%
 
UT Yadav13041.7%
 
Z Khan12221.6%
 
A Mishra12171.6%
 
IK Pathan11941.6%
 
SP Narine11851.6%
 
JH Kallis11441.5%
 
SR Watson10781.4%
 
DJ Bravo10531.4%
 
R Vinay Kumar10421.4%
 
M Morkel10351.4%
 
RA Jadeja10221.3%
 
RP Singh10081.3%
 
A Nehra10061.3%
 
R Ashwin9931.3%
 
B Kumar9521.3%
 
DW Steyn9431.2%
 
R Bhatia9251.2%
 
PP Ojha9061.2%
 
DS Kulkarni8021.1%
 
AB Dinda7971.0%
 
SK Trivedi7781.0%
 
Other values (304)4888664.3%
 

Length

Max length17
Median length9
Mean length9.437932486
Min length5

Overview of Unicode Properties

Unique unicode characters52
Unique unicode categories (?)4
Unique unicode scripts (?)2
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
a9005912.6%
 
7888311.0%
 
n391785.5%
 
r373975.2%
 
h343764.8%
 
e321574.5%
 
i309874.3%
 
S277143.9%
 
l243083.4%
 
M196272.7%
 
P191822.7%
 
A175202.4%
 
o169352.4%
 
t164582.3%
 
s159942.2%
 
m157722.2%
 
K156262.2%
 
u141522.0%
 
R141222.0%
 
d139691.9%
 
J134691.9%
 
B101851.4%
 
D96211.3%
 
g94131.3%
 
k78791.1%
 
Other values (27)9243212.9%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter43361960.4%
 
Uppercase Letter20462128.5%
 
Space Separator7888311.0%
 
Dash Punctuation292< 0.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S2771413.5%
 
M196279.6%
 
P191829.4%
 
A175208.6%
 
K156267.6%
 
R141226.9%
 
J134696.6%
 
B101855.0%
 
D96214.7%
 
H76403.7%
 
C76343.7%
 
T62413.1%
 
N57812.8%
 
V47612.3%
 
W44982.2%
 
L43102.1%
 
Y38201.9%
 
G32781.6%
 
I28161.4%
 
U19811.0%
 
Z14310.7%
 
F14250.7%
 
O11070.5%
 
E8320.4%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
78883100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
a9005920.8%
 
n391789.0%
 
r373978.6%
 
h343767.9%
 
e321577.4%
 
i309877.1%
 
l243085.6%
 
o169353.9%
 
t164583.8%
 
s159943.7%
 
m157723.6%
 
u141523.3%
 
d139693.2%
 
g94132.2%
 
k78791.8%
 
y63041.5%
 
v58111.3%
 
w52921.2%
 
j51361.2%
 
b42181.0%
 
p29300.7%
 
c22800.5%
 
f9710.2%
 
z7830.2%
 
q6830.2%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-292100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin63824089.0%
 
Common7917511.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
a9005914.1%
 
n391786.1%
 
r373975.9%
 
h343765.4%
 
e321575.0%
 
i309874.9%
 
S277144.3%
 
l243083.8%
 
M196273.1%
 
P191823.0%
 
A175202.7%
 
o169352.7%
 
t164582.6%
 
s159942.5%
 
m157722.5%
 
K156262.4%
 
u141522.2%
 
R141222.2%
 
d139692.2%
 
J134692.1%
 
B101851.6%
 
D96211.5%
 
g94131.5%
 
k78791.2%
 
H76401.2%
 
Other values (25)8450013.2%
 

Most frequent Common characters

ValueCountFrequency (%) 
7888399.6%
 
-2920.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII717415100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
a9005912.6%
 
7888311.0%
 
n391785.5%
 
r373975.2%
 
h343764.8%
 
e321574.5%
 
i309874.3%
 
S277143.9%
 
l243083.4%
 
M196272.7%
 
P191822.7%
 
A175202.4%
 
o169352.4%
 
t164582.3%
 
s159942.2%
 
m157722.2%
 
K156262.2%
 
u141522.0%
 
R141222.0%
 
d139691.9%
 
J134691.9%
 
B101851.4%
 
D96211.3%
 
g94131.3%
 
k78791.1%
 
Other values (27)9243212.9%
 

runs
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct count252
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.88934933038651
Minimum0
Maximum263
Zeros808
Zeros (%)1.1%
Memory size594.0 KiB

Quantile statistics

Minimum0
5-th percentile5
Q134
median70
Q3111
95-th percentile161
Maximum263
Range263
Interquartile range (IQR)77

Descriptive statistics

Standard deviation48.82332731
Coefficient of variation (CV)0.6519395314
Kurtosis-0.6316348343
Mean74.88934933
Median Absolute Deviation (MAD)38
Skewness0.3944031905
Sum5692639
Variance2383.717289
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
18951.2%
 
08081.1%
 
56970.9%
 
26490.9%
 
46430.8%
 
465930.8%
 
215820.8%
 
225740.8%
 
775670.7%
 
545670.7%
 
95660.7%
 
485640.7%
 
415640.7%
 
455640.7%
 
155630.7%
 
115610.7%
 
535590.7%
 
65590.7%
 
85560.7%
 
525520.7%
 
505520.7%
 
645510.7%
 
705490.7%
 
75460.7%
 
195450.7%
 
Other values (227)6108880.4%
 
ValueCountFrequency (%) 
08081.1%
 
18951.2%
 
26490.9%
 
34100.5%
 
46430.8%
 
56970.9%
 
65590.7%
 
75460.7%
 
85560.7%
 
95660.7%
 
ValueCountFrequency (%) 
2632< 0.1%
 
2622< 0.1%
 
2601< 0.1%
 
2591< 0.1%
 
2531< 0.1%
 
2521< 0.1%
 
2512< 0.1%
 
2483< 0.1%
 
2461< 0.1%
 
2451< 0.1%
 

wickets
Real number (ℝ≥0)

ZEROS

Distinct count11
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.415844449706633
Minimum0
Maximum10
Zeros14840
Zeros (%)19.5%
Memory size594.0 KiB

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile6
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.015206543
Coefficient of variation (CV)0.8341623746
Kurtosis0.1775574685
Mean2.41584445
Median Absolute Deviation (MAD)1
Skewness0.7916206391
Sum183638
Variance4.061057411
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
11490019.6%
 
01484019.5%
 
21392718.3%
 
31156815.2%
 
4912412.0%
 
552086.9%
 
633344.4%
 
717842.3%
 
88561.1%
 
94260.6%
 
10470.1%
 
ValueCountFrequency (%) 
01484019.5%
 
11490019.6%
 
21392718.3%
 
31156815.2%
 
4912412.0%
 
552086.9%
 
633344.4%
 
717842.3%
 
88561.1%
 
94260.6%
 
ValueCountFrequency (%) 
10470.1%
 
94260.6%
 
88561.1%
 
717842.3%
 
633344.4%
 
552086.9%
 
4912412.0%
 
31156815.2%
 
21392718.3%
 
11490019.6%
 

overs
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count140
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.783067592811848
Minimum0.0
Maximum19.6
Zeros37
Zeros (%)< 0.1%
Memory size594.0 KiB

Quantile statistics

Minimum0
5-th percentile0.6
Q14.6
median9.6
Q314.6
95-th percentile18.6
Maximum19.6
Range19.6
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.772586874
Coefficient of variation (CV)0.5900589789
Kurtosis-1.207909772
Mean9.783067593
Median Absolute Deviation (MAD)5
Skewness0.009904070707
Sum743650.1
Variance33.32275922
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.16550.9%
 
0.46520.9%
 
1.16500.9%
 
2.36490.9%
 
3.56490.9%
 
1.26480.9%
 
1.46480.9%
 
0.26460.8%
 
5.26450.8%
 
1.36450.8%
 
1.56440.8%
 
5.16440.8%
 
18.16440.8%
 
2.26440.8%
 
4.36420.8%
 
0.36420.8%
 
3.46410.8%
 
4.46410.8%
 
6.56400.8%
 
8.46400.8%
 
3.36400.8%
 
4.26400.8%
 
0.56400.8%
 
2.56400.8%
 
16.56390.8%
 
Other values (115)5990678.8%
 
ValueCountFrequency (%) 
037< 0.1%
 
0.16550.9%
 
0.26460.8%
 
0.36420.8%
 
0.46520.9%
 
0.56400.8%
 
0.66170.8%
 
1400.1%
 
1.16500.9%
 
1.26480.9%
 
ValueCountFrequency (%) 
19.65740.8%
 
19.56070.8%
 
19.46120.8%
 
19.36110.8%
 
19.26030.8%
 
19.16220.8%
 
1937< 0.1%
 
18.65930.8%
 
18.56120.8%
 
18.46280.8%
 

runs_last_5
Real number (ℝ≥0)

ZEROS

Distinct count102
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.21643381482359
Minimum0
Maximum113
Zeros808
Zeros (%)1.1%
Memory size594.0 KiB

Quantile statistics

Minimum0
5-th percentile5
Q124
median34
Q343
95-th percentile57
Maximum113
Range113
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.91417359
Coefficient of variation (CV)0.4489998436
Kurtosis0.08013547457
Mean33.21643381
Median Absolute Deviation (MAD)9
Skewness-0.0830894154
Sum2524914
Variance222.4325738
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3424083.2%
 
3323283.1%
 
3523173.0%
 
3622893.0%
 
3222813.0%
 
3722493.0%
 
3822002.9%
 
3121432.8%
 
3921342.8%
 
2920472.7%
 
4020082.6%
 
3019882.6%
 
4119612.6%
 
2818962.5%
 
4218722.5%
 
2718042.4%
 
4317732.3%
 
2617392.3%
 
4416712.2%
 
4516582.2%
 
2515352.0%
 
4614781.9%
 
2413901.8%
 
2313221.7%
 
4712961.7%
 
Other values (77)2822737.1%
 
ValueCountFrequency (%) 
08081.1%
 
18951.2%
 
26490.9%
 
34100.5%
 
46430.8%
 
56970.9%
 
65590.7%
 
75470.7%
 
85570.7%
 
95660.7%
 
ValueCountFrequency (%) 
1131< 0.1%
 
1122< 0.1%
 
1112< 0.1%
 
1102< 0.1%
 
1091< 0.1%
 
1041< 0.1%
 
1001< 0.1%
 
951< 0.1%
 
941< 0.1%
 
934< 0.1%
 

wickets_last_5
Real number (ℝ≥0)

ZEROS

Distinct count8
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1203067855921278
Minimum0
Maximum7
Zeros24918
Zeros (%)32.8%
Memory size594.0 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.053342865
Coefficient of variation (CV)0.9402271579
Kurtosis0.7291899029
Mean1.120306786
Median Absolute Deviation (MAD)1
Skewness0.90111727
Sum85159
Variance1.109531191
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
12723835.8%
 
02491832.8%
 
21610221.2%
 
358027.6%
 
415342.0%
 
53500.5%
 
6650.1%
 
75< 0.1%
 
ValueCountFrequency (%) 
02491832.8%
 
12723835.8%
 
21610221.2%
 
358027.6%
 
415342.0%
 
53500.5%
 
6650.1%
 
75< 0.1%
 
ValueCountFrequency (%) 
75< 0.1%
 
6650.1%
 
53500.5%
 
415342.0%
 
358027.6%
 
21610221.2%
 
12723835.8%
 
02491832.8%
 

striker
Real number (ℝ≥0)

ZEROS

Distinct count155
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.962283263609336
Minimum0
Maximum175
Zeros1437
Zeros (%)1.9%
Memory size594.0 KiB

Quantile statistics

Minimum0
5-th percentile2
Q110
median20
Q335
95-th percentile63
Maximum175
Range175
Interquartile range (IQR)25

Descriptive statistics

Standard deviation20.07975195
Coefficient of variation (CV)0.8044036572
Kurtosis2.910357355
Mean24.96228326
Median Absolute Deviation (MAD)12
Skewness1.383217968
Sum1897483
Variance403.1964383
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
422663.0%
 
121882.9%
 
520872.7%
 
619932.6%
 
1019812.6%
 
1219492.6%
 
1319452.6%
 
919262.5%
 
819202.5%
 
1119132.5%
 
1418332.4%
 
1518162.4%
 
1617402.3%
 
717012.2%
 
1716942.2%
 
2016832.2%
 
1916072.1%
 
215942.1%
 
1815892.1%
 
2415742.1%
 
2315592.1%
 
2114872.0%
 
2214621.9%
 
014371.9%
 
2514321.9%
 
Other values (130)3163841.6%
 
ValueCountFrequency (%) 
014371.9%
 
121882.9%
 
215942.1%
 
312791.7%
 
422663.0%
 
520872.7%
 
619932.6%
 
717012.2%
 
819202.5%
 
919262.5%
 
ValueCountFrequency (%) 
1752< 0.1%
 
1743< 0.1%
 
1731< 0.1%
 
1677< 0.1%
 
1661< 0.1%
 
1651< 0.1%
 
1613< 0.1%
 
1601< 0.1%
 
1581< 0.1%
 
1564< 0.1%
 

non-striker
Real number (ℝ≥0)

ZEROS

Distinct count88
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.869287236561686
Minimum0
Maximum109
Zeros12246
Zeros (%)16.1%
Memory size594.0 KiB

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q313
95-th percentile31
Maximum109
Range109
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.79574241
Coefficient of variation (CV)1.217205185
Kurtosis5.295229829
Mean8.869287237
Median Absolute Deviation (MAD)4
Skewness2.03428451
Sum674190
Variance116.5480541
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01224616.1%
 
1964212.7%
 
262108.2%
 
341745.5%
 
439945.3%
 
534544.5%
 
633004.3%
 
727443.6%
 
826803.5%
 
923933.1%
 
1020882.7%
 
1118832.5%
 
1218172.4%
 
1317822.3%
 
1415392.0%
 
1514131.9%
 
1612151.6%
 
1711121.5%
 
189851.3%
 
199831.3%
 
208391.1%
 
217691.0%
 
236780.9%
 
226380.8%
 
246060.8%
 
Other values (63)68309.0%
 
ValueCountFrequency (%) 
01224616.1%
 
1964212.7%
 
262108.2%
 
341745.5%
 
439945.3%
 
534544.5%
 
633004.3%
 
727443.6%
 
826803.5%
 
923933.1%
 
ValueCountFrequency (%) 
1092< 0.1%
 
1031< 0.1%
 
971< 0.1%
 
952< 0.1%
 
931< 0.1%
 
871< 0.1%
 
824< 0.1%
 
813< 0.1%
 
802< 0.1%
 
794< 0.1%
 

total
Real number (ℝ≥0)

Distinct count138
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.9014523640382
Minimum67
Maximum263
Zeros0
Zeros (%)0.0%
Memory size594.0 KiB

Quantile statistics

Minimum67
5-th percentile112
Q1142
median162
Q3181
95-th percentile208
Maximum263
Range196
Interquartile range (IQR)39

Descriptive statistics

Standard deviation29.24623083
Coefficient of variation (CV)0.1817648654
Kurtosis0.4072727116
Mean160.9014524
Median Absolute Deviation (MAD)20
Skewness-0.06026792976
Sum12230763
Variance855.3420175
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
16517462.3%
 
17815052.0%
 
18314952.0%
 
16814852.0%
 
16314852.0%
 
16414842.0%
 
14814721.9%
 
18713731.8%
 
15713701.8%
 
16013591.8%
 
17112541.6%
 
17012411.6%
 
15412301.6%
 
16211291.5%
 
18511251.5%
 
14211211.5%
 
16111201.5%
 
17211161.5%
 
14511151.5%
 
14111091.5%
 
15811091.5%
 
1819971.3%
 
1919941.3%
 
1569931.3%
 
1599911.3%
 
Other values (113)4459658.7%
 
ValueCountFrequency (%) 
672060.3%
 
70910.1%
 
73980.1%
 
801170.2%
 
81960.1%
 
821140.1%
 
922440.3%
 
941240.2%
 
952260.3%
 
971870.2%
 
ValueCountFrequency (%) 
2631280.2%
 
2481220.2%
 
2461220.2%
 
2401240.2%
 
2351250.2%
 
2321260.2%
 
2312510.3%
 
2301290.2%
 
2271250.2%
 
2262570.3%
 

Interactions

Correlations

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

Sample

First rows

middatevenuebat_teambowl_teambatsmanbowlerrunswicketsoversruns_last_5wickets_last_5strikernon-strikertotal
012008-04-18M Chinnaswamy StadiumKolkata Knight RidersRoyal Challengers BangaloreSC GangulyP Kumar100.11000222
112008-04-18M Chinnaswamy StadiumKolkata Knight RidersRoyal Challengers BangaloreBB McCullumP Kumar100.21000222
212008-04-18M Chinnaswamy StadiumKolkata Knight RidersRoyal Challengers BangaloreBB McCullumP Kumar200.22000222
312008-04-18M Chinnaswamy StadiumKolkata Knight RidersRoyal Challengers BangaloreBB McCullumP Kumar200.32000222
412008-04-18M Chinnaswamy StadiumKolkata Knight RidersRoyal Challengers BangaloreBB McCullumP Kumar200.42000222
512008-04-18M Chinnaswamy StadiumKolkata Knight RidersRoyal Challengers BangaloreBB McCullumP Kumar200.52000222
612008-04-18M Chinnaswamy StadiumKolkata Knight RidersRoyal Challengers BangaloreBB McCullumP Kumar300.63000222
712008-04-18M Chinnaswamy StadiumKolkata Knight RidersRoyal Challengers BangaloreBB McCullumZ Khan301.13000222
812008-04-18M Chinnaswamy StadiumKolkata Knight RidersRoyal Challengers BangaloreBB McCullumZ Khan701.27040222
912008-04-18M Chinnaswamy StadiumKolkata Knight RidersRoyal Challengers BangaloreBB McCullumZ Khan1101.311080222

Last rows

middatevenuebat_teambowl_teambatsmanbowlerrunswicketsoversruns_last_5wickets_last_5strikernon-strikertotal
760046172017-05-21Rajiv Gandhi International Stadium, UppalMumbai IndiansRising Pune SupergiantKH PandyaJD Unadkat114718.53613512129
760056172017-05-21Rajiv Gandhi International Stadium, UppalMumbai IndiansRising Pune SupergiantKH PandyaJD Unadkat115718.63613612129
760066172017-05-21Rajiv Gandhi International Stadium, UppalMumbai IndiansRising Pune SupergiantKH PandyaDT Christian116719.03703612129
760076172017-05-21Rajiv Gandhi International Stadium, UppalMumbai IndiansRising Pune SupergiantKH PandyaDT Christian116719.13703612129
760086172017-05-21Rajiv Gandhi International Stadium, UppalMumbai IndiansRising Pune SupergiantKH PandyaDT Christian120719.24004012129
760096172017-05-21Rajiv Gandhi International Stadium, UppalMumbai IndiansRising Pune SupergiantKH PandyaDT Christian121719.24004012129
760106172017-05-21Rajiv Gandhi International Stadium, UppalMumbai IndiansRising Pune SupergiantKH PandyaDT Christian127719.34604612129
760116172017-05-21Rajiv Gandhi International Stadium, UppalMumbai IndiansRising Pune SupergiantKH PandyaDT Christian128719.44704712129
760126172017-05-21Rajiv Gandhi International Stadium, UppalMumbai IndiansRising Pune SupergiantMG JohnsonDT Christian129719.54804713129
760136172017-05-21Rajiv Gandhi International Stadium, UppalMumbai IndiansRising Pune SupergiantKH PandyaDT Christian129819.64714713129